Voice Agents

A voice interaction is a streaming conversation rather than a sequence of complete text messages. The system captures audio, identifies turns, interprets the request and produces speech while tracking tool activity and what the user has actually heard. Chained pipelines expose intermediate text and allow independent component choices; audio-native approaches can preserve more speech information within one session. These architectures have different latency and control tradeoffs. Voice activity detection estimates when someone is speaking, but conversational turn completion is a separate decision. State must also distinguish generated audio from delivered audio when a user interrupts a response.

The practitioner chooses an audio architecture, transport and turn-detection policy based on the application. They design interruption behavior, timeouts, tool-result announcements and escalation paths. Sensitive entities such as addresses need confirmation because speech recognition can be uncertain. Evaluation includes noisy environments, accents, overlapping speech and delayed tools. Useful outputs include conversation traces aligned with audio events and a tested policy for resuming after interruption. Perceived responsiveness must be measured together with task accuracy and whether spoken confirmations match committed actions.

Fast speech output can still deliver a wrong action or talk over the user. Transcription errors, uncertain names and tool latency can break an otherwise fluent conversation. A pipeline needs explicit handling for partial input and cancelled output, not just lower average response time. Quality includes intelligibility, interruption recovery, accurate entity capture and clear handoff when speech is insufficient. Voice interfaces also need accessible alternatives for people or environments where speaking and listening are impractical.